| Paper: | SS-10.6 | ||
| Session: | Sensing Reality and Communicating Bits | ||
| Time: | Friday, May 19, 11:40 - 12:00 | ||
| Presentation: | Special Session Lecture | ||
| Topic: | Special Sessions: Sensing reality and communicating bits | ||
| Title: | SENSING AND COMMUNICATION WITH AND WITHOUT BITS | ||
| Authors: | Michael Gastpar, University of California, Berkeley, United States; Martin Vetterli, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland; Pier Luigi Dragotti, Imperial College London, United Kingdom | ||
| Abstract: | The successful design of sensor network architectures depends crucially on the structure of the sampling, observation, and communication processes. One of the most fundamental questions concerns the sufficiency of discrete approximations in time, space, and amplitude. In the case of space and time, the question can be rephrased as whether there is a spatio-temporal sampling theorem for typical data sets in sensor networks. This question has a positive answer in many cases of interest. The issue of discretization of amplitudes is more subtle and can be expressed as the question of whether there is a (source/channel) separation theorem for typical sensor networks. We show that this question has a negative answer in general and that the price of separation can be large. To illustrate these issues, we review the underlying theory and discuss specific examples. | ||
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